Permanent Position · Senior

AI Deployment Strategist - MedTech Quality Management

This role involves working with clients to transform complex quality and QMS workflows into practical AI-powered solutions within the medical technology sector. The strategist will drive customer projects from discovery through implementation, focusing on understanding existing quality processes and translating them into high-impact AI use cases. This is a hands-on position requiring deep expertise in medical technology quality management and strong project ownership to deliver practical, AI-enabled solutions. The successful candidate will collaborate closely with client teams and internal product and engineering departments.

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Opportunity overview

Opportunity type
Permanent Position
Required seniority
Senior
Work location
Hybrid
Location
Germany
Start
ASAP
Duration
Permanent
Travel
—

Required role

PLM ConsultantBusiness AnalystProject Manager

Required skills

Quality Management System (QMS)ISO 13485FDA QMSR / 21 CFR Part 820MDSAPISO 14971 Risk ManagementDesign ControlsCAPADeviationsSupplier QualityInternal AuditsExternal AuditsChange ControlDocument ControlVerification & ValidationNonconformance HandlingComplaints HandlingPost-Market SurveillanceAI DeploymentWorkflow DesignStakeholder Management

Required industry experience

Medical Devices & Lifesciences

Responsibilities

  • Own and drive customer project workstreams from discovery to delivery.
  • Understand client QMS processes and documentation, identifying AI improvement opportunities.
  • Apply deep medical technology quality management expertise as a domain sparring partner.
  • Create and review project deliverables such as workshop materials and workflow maps.
  • Collect customer feedback and translate it into structured internal feedback for product and engineering.
  • Actively use AI tools to speed up personal work and improve project delivery.

Requirements

  • 5–8 years of relevant experience in medical technology quality management or related consulting.
  • Practical understanding of medical device QMS operations, including document control, CAPA, and risk management.
  • Ability to translate QMS expertise into AI-enabled use cases and project deliverables.
  • Strong project ownership skills, including structuring ambiguous work and managing risks.
  • Excellent customer-facing communication to build trust and explain complex topics.
  • Hands-on execution mindset, comfortable creating materials and synthesizing findings.
  • Comfortable operating in a high-speed, rapidly changing environment.
  • AI savviness, actively using AI tools to improve work and deliverables.